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* modeld: Retain pre-20hz drive model support * Method not available anymore on OP * some fixes * Revert "Long planner get accel: new function args (#34288)" * Revert "Fix low-speed allow_throttle behavior in long planner (#33894)" * Revert "long planner: allow throttle reflects usage (#33792)" * Revert "Gate acceleration on model gas press predictions (#33643)" * Reapply "Gate acceleration on model gas press predictions (#33643)" This reverts commit76b08e37cb. * Reapply "long planner: allow throttle reflects usage (#33792)" This reverts commitc75244ca4e. * Reapply "Fix low-speed allow_throttle behavior in long planner (#33894)" This reverts commitb2b7d21b7b. * Reapply "Long planner get accel: new function args (#34288)" This reverts commit74dca2fccf. * don't need * retain snpe * wrong * they're symlinks * remove * put back into VCS * add back * don't include built * Refactor model runner retrieval with caching support Added caching for active model runner type via `ModelRunnerTypeCache` to enhance performance and avoid redundant checks. Introduced a `force_check` flag to bypass the cache when necessary. Updated related code to handle cache clearing during onroad transitions. * Update model runner determination logic with caching fix Enhances `get_active_model_runner` to utilize caching more effectively by ensuring type consistency and updating cache only when necessary. Also updates `is_snpe_model` to pass the `started` state to the runner determination function, improving behavior for dynamic checks. * default to none * enable in next PR * more --------- Co-authored-by: DevTekVE <devtekve@gmail.com>
87 lines
2.3 KiB
C++
87 lines
2.3 KiB
C++
//==============================================================================
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//
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// Copyright (c) 2017-2019 Qualcomm Technologies, Inc.
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// All Rights Reserved.
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// Confidential and Proprietary - Qualcomm Technologies, Inc.
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//
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//==============================================================================
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#ifndef _IBUFFER_ATTRIBUTES_HPP
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#define _IBUFFER_ATTRIBUTES_HPP
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#include "IUserBuffer.hpp"
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#include "TensorShape.hpp"
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#include "ZdlExportDefine.hpp"
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namespace zdl {
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namespace DlSystem {
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class UserBufferEncoding;
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}
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}
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namespace zdl {
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namespace DlSystem {
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/**
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* @brief IBufferAttributes returns a buffer's dimension and alignment
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* requirements, along with info on its encoding type
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*/
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class ZDL_EXPORT IBufferAttributes {
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public:
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/**
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* @brief Gets the buffer's element size, in bytes
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*
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* This can be used to compute the memory size required
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* to back this buffer.
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*
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* @return Element size, in bytes
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*/
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virtual size_t getElementSize() const noexcept = 0;
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/**
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* @brief Gets the element's encoding type
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*
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* @return encoding type
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*/
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virtual zdl::DlSystem::UserBufferEncoding::ElementType_t getEncodingType() const noexcept = 0;
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/**
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* @brief Gets the number of elements in each dimension
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*
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* @return Dimension size, in terms of number of elements
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*/
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virtual const TensorShape getDims() const noexcept = 0;
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/**
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* @brief Gets the alignment requirement of each dimension
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*
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* Alignment per each dimension is expressed as an multiple, for
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* example, if one particular dimension can accept multiples of 8,
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* the alignment will be 8.
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*
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* @return Alignment in each dimension, in terms of multiple of
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* number of elements
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*/
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virtual const TensorShape getAlignments() const noexcept = 0;
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/**
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* @brief Gets the buffer encoding returned from the network responsible
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* for generating this buffer. Depending on the encoding type, this will
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* be an instance of an encoding type specific derived class.
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*
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* @return Derived user buffer encoding object.
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*/
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virtual zdl::DlSystem::UserBufferEncoding* getEncoding() const noexcept = 0;
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virtual ~IBufferAttributes() {}
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};
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/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
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}
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}
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#endif
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